Analytics Consultant

• Delivering high quality analytical and value-added services for clients while adhering to timelines
• Build next in class risk Models for our Clients leveraging bureau and alternate data
• Provide subject matter expertise on acquisition and limit assignment strategies
• You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
• You will have the opportunity to use analysis and customer insights to develop value propositions for customers
• Manage the delivery of multiple, complex analytics projects
• Flexible and expertise to perform hands-on modelling work
• Motivate project team to ensure quality deliverables and achieve milestones
• Mentor and coach junior team members in model development process
• Develop industry best practice on model development/validation
• Drive high standards of customer service and proactive client communication throughout the project term

About Experian

Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish - and we're not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow.

Experience and Skills

• 8-12 years' experience in credit risk modelling across customer life cycle
• A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
• Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
• Experience working on large data sets using Modern languages like Python
• Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques
• Good applied statistics skills, such as distributions, statistical testing, regression etc.
• Understanding of decisioning and portfolio management in banking and financial services would be added advantage
• Understanding of credit bureau would be an added advantage
• Extensive experience of managing large projects
• Experience of working in a financial services environment or Modelling department of International Banks
• Able to interpret technical features into commercial benefits

• Great compensation package.
• Core benefits include, Group mediclaim Insurance, Sharesave scheme and more!
• 25 days annual leave & 10 sick leaves.
• Car Lease policy